Search Results for author: Xiangtian Zheng

Found 6 papers, 3 papers with code

Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality

no code implementations2 Nov 2022 Le Xie, Tong Huang, Xiangtian Zheng, Yan Liu, Mengdi Wang, Vijay Vittal, P. R. Kumar, Srinivas Shakkottai, Yi Cui

The transition towards carbon-neutral electricity is one of the biggest game changers in addressing climate change since it addresses the dual challenges of removing carbon emissions from the two largest sectors of emitters: electricity and transportation.

Decision Making

How Much Demand Flexibility Could Have Spared Texas from the 2021 Outage?

1 code implementation1 Jun 2022 Dongqi Wu, Xiangtian Zheng, Ali Menati, Lane Smith, Bainan Xia, Yixing Xu, Chanan Singh, Le Xie

The February 2021 Texas winter power outage has led to hundreds of deaths and billions of dollars in economic losses, largely due to the generation failure and record-breaking electric demand.

Massively Digitized Power Grid: Opportunities and Challenges of Use-inspired AI

no code implementations10 May 2022 Le Xie, Xiangtian Zheng, Yannan Sun, Tong Huang, Tony Bruton

This article presents a use-inspired perspective of the opportunities and challenges in a massively digitized power grid.

A Multi-scale Time-series Dataset with Benchmark for Machine Learning in Decarbonized Energy Grids

1 code implementation12 Oct 2021 Xiangtian Zheng, Nan Xu, Loc Trinh, Dongqi Wu, Tong Huang, S. Sivaranjani, Yan Liu, Le Xie

The electric grid is a key enabling infrastructure for the ambitious transition towards carbon neutrality as we grapple with climate change.

Time Series Time Series Analysis

Tracking and Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector

1 code implementation11 May 2020 Guangchun Ruan, Dongqi Wu, Xiangtian Zheng, S. Sivaranjani, Le Xie, Haiwang Zhong, Chongqing Kang

The novel coronavirus disease (COVID-19) has rapidly spread around the globe in 2020, with the U. S. becoming the epicenter of COVID-19 cases and deaths in late March.

Computers and Society

Synthetic Dynamic PMU Data Generation: A Generative Adversarial Network Approach

no code implementations7 Dec 2018 Xiangtian Zheng, Bin Wang, Le Xie

This paper concerns with the production of synthetic phasor measurement unit (PMU) data for research and education purposes.

Generative Adversarial Network

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